扩散模型论文趋势 2023–2026
扩散、flow matching 与 score-based 生成
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 6,900 篇被归入该主题的论文。
主要结论
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇,三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议,2023–2026 年共 2,202 篇,占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences:同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里,它的 2026 年论文数排第 1;同组增长最快的深度学习 · foundation models是 2.5 倍,扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
- NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
- NeurIPS 20233D molecule generation by denoising voxel grids
- ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
- ICLR 2023(Certified!!) Adversarial Robustness for Free!
- CVPR 20233D Neural Field Generation Using Triplane Diffusion
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions
全部扩散模型论文
共 551 篇,第 1 / 12 页
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- CVPR 20253DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion
- CVPR 20254Real-Video: Learning Generalizable Photo-Realistic 4D Video Diffusion
- CVPR 2025A Bias-Free Training Paradigm for More General AI-generated Image Detection
- CVPR 2025A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training
- CVPR 2025A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation
- CVPR 2025A Unified Latent Schrodinger Bridge Diffusion Model for Unsupervised Anomaly Detection and Localization
- CVPR 2025AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers
- CVPR 2025Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation
- CVPR 2025Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition
- CVPR 2025ACE: Anti-Editing Concept Erasure in Text-to-Image Models
- CVPR 2025Adaptive Non-Uniform Timestep Sampling for Accelerating Diffusion Model Training
- CVPR 2025Advancing Generalizable Tumor Segmentation with Anomaly-Aware Open-Vocabulary Attention Maps and Frozen Foundation Diffusion Models
- CVPR 2025Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization
- CVPR 2025AeroGen: Enhancing Remote Sensing Object Detection with Diffusion-Driven Data Generation
- CVPR 2025Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization
- CVPR 2025AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
- CVPR 2025AIM-Fair: Advancing Algorithmic Fairness via Selectively Fine-Tuning Biased Models with Contextual Synthetic Data
- CVPR 2025Alias-Free Latent Diffusion Models: Improving Fractional Shift Equivariance of Diffusion Latent Space
- CVPR 2025Align-A-Video: Deterministic Reward Tuning of Image Diffusion Models for Consistent Video Editing
- CVPR 2025Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
- CVPR 2025An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models
- CVPR 2025An Image-like Diffusion Method for Human-Object Interaction Detection
- CVPR 2025Anatomical Consistency and Adaptive Prior-informed Transformation for Multi-contrast MR Image Synthesis via Diffusion Model
- CVPR 2025AniDoc: Animation Creation Made Easier
- CVPR 2025Animate and Sound an Image
- CVPR 2025AnyDressing: Customizable Multi-Garment Virtual Dressing via Latent Diffusion Models
- CVPR 2025AnyMoLe: Any Character Motion In-betweening Leveraging Video Diffusion Models
- CVPR 2025APT: Adaptive Personalized Training for Diffusion Models with Limited Data
- CVPR 2025AR-Diffusion: Asynchronous Video Generation with Auto-Regressive Diffusion
- CVPR 2025Arbitrary-steps Image Super-resolution via Diffusion Inversion
- CVPR 2025Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
- CVPR 2025Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
- CVPR 2025Articulated Kinematics Distillation from Video Diffusion Models
- CVPR 2025ArtiFade: Learning to Generate High-quality Subject from Blemished Images
- CVPR 2025Attend to Not Attended: Structure-then-Detail Token Merging for Post-training DiT Acceleration
- CVPR 2025Attention Distillation: A Unified Approach to Visual Characteristics Transfer
- CVPR 2025Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language
- CVPR 2025Autoregressive Distillation of Diffusion Transformers
- CVPR 2025Autoregressive Sequential Pretraining for Visual Tracking
- CVPR 2025AvatarArtist: Open-Domain 4D Avatarization
- CVPR 2025BADGR: Bundle Adjustment Diffusion Conditioned by Gradients for Wide-Baseline Floor Plan Reconstruction
- CVPR 2025Believing is Seeing: Unobserved Object Detection using Generative Models
- CVPR 2025BEVDiffuser: Plug-and-Play Diffusion Model for BEV Denoising with Ground-Truth Guidance
- CVPR 2025Beyond Generation: A Diffusion-based Low-level Feature Extractor for Detecting AI-generated Images
- CVPR 2025BIGS: Bimanual Category-agnostic Interaction Reconstruction from Monocular Videos via 3D Gaussian Splatting
- CVPR 2025Birth and Death of a Rose
- CVPR 2025Black Hole-Driven Identity Absorbing in Diffusion Models
- CVPR 2025Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
- CVPR 2025Blind Bitstream-corrupted Video Recovery via Metadata-guided Diffusion Model
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查扩散模型在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "diffusion-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇扩散模型论文?
- 共 6,900 篇,按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
- NeurIPS 2026 有多少篇扩散模型论文?
- NeurIPS 2026 有 661 篇扩散模型论文,上一届是 694 篇。
- ICLR 2026 有多少篇扩散模型论文?
- ICLR 2026 有 694 篇扩散模型论文,上一届是 487 篇。
- ICML 2026 有多少篇扩散模型论文?
- ICML 2026 有 728 篇扩散模型论文,上一届是 346 篇。
- CVPR 2026 有多少篇扩散模型论文?
- CVPR 2026 有 608 篇扩散模型论文,上一届是 551 篇。
- 哪个会议的扩散模型论文最多?
- NeurIPS,2023–2026 年共 2,202 篇。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197